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Security while driving: We are happy to announce that our colleague Kristian Fischer successfully placed an article entitled "Boosting Neural Image Compression for Machines Using Latent Space Masking". The paper shows how neural-network based video compression can be exploited to increase the compre...

We are happy to announce that two publications co-authored by LMS researchers won the "Joint Research Incubator Award" on the SVCP 2022!

We congratulate Andy Regensky for winning the Best Presentation Award on the SVCP 2022! His presentation was entitled "Motion-Plane-Adaptive Inter Prediction in 360-Degree Video Coding".

We are happy to announce that Prof. Vasileios Belagiannis will take the professorship on "Machine Learning in Signal Processing" at the LMS beginning October 2022.

Sponsored by the Erasmus+ program of the EU, Prof. Sharon Gannot from the Bar-Ilan University in Ramat-Gan (Israel) visits the LMS from July 9 – 27, 2022. In this time, he will give various presentations and lectures on current topics in the area of speech and audio signal processing.

Dr. Dana Lahat is Adjunct Assistant Professor at the University of Maryland (Baltimore, USA) and Researcher at the Tel Aviv University (Israel). She works on algebraic methods for data analysis and statistical signal processing. During her stay at the LMS, she will present some of her research results within an EEI colloquium talk.

Refreshing news in the hot summer months: We congratulate our colleague Kamal Nambiar for his accepted journal paper entitled "A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions". It shows that the coverage of ice, clouds, and shadows in d...

We cordially congratulate our esteemed colleague Andreas Brendel, who received his PhD on June 20th, 2022!

Deep Learning by LMS - All over the daily news, one can read buzzwords such as "Artificial Intelligence" and "Machine Learning". At the LMS, we are performing cutting-edge research in this direction with various applications. For example, we are investigating and improving deep convolutional neural ...

More Open Source at the LMS: To globally provide our open-source software, we operate our own Gitlab-server, where a large part of our software products are publicly available. In this month's news, we would like to draw your attention to PADIS, "Probabilistic Approach to Dynamic Image Sampling", wh...

In the past decade, deep learning (DL) algorithms have gained increasing popularity in many areas of signal processing and communications and managed to solve tasks which were previously considered infeasible. However, classical model-based approaches such as nonnegative matrix factorization, the Ka...

Open Science at the LMS: Next to the publication of Open-Source code (see news from Mach 2022), we also publish a large part of our research as Open Access or as a preprint on platforms such as arXive.org.

We are currently searching for an outstanding Master graduate in electrical engineering (with strong background in signal processing). We offer a full-time position to do research in the field of video processing (pdf here). If you are interested, please send a full application to Dr.-Ing. Christian...

We cordially congratulate our former colleague Andreas Weinlich, who received his PhD on March 16th, 2022!

Our colleague Thomas Haubner won a travel grant for his paper "End-To-End Deep Learning-based Adaptation Control for Frequency-Domain Adaptive System Identification" for the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) in Singapore. Congratulations!

LMS for Open Source: In the recent years, the LMS has published a lot of its research and solutions in open-source repositories. Here is a little selection. First, we would like to mention our "Frequency Selective Reconstruction", which can reconstruct missing or faulty parts of an image in a very c...

You are searching for a thesis, a research internship, or you are just interested in the research at our chair? On Monday, February 7th 2.15 pm we will provide an overview on the research at our chair. You can take part live in Hörsaal H16 or online via Zoom. The two pictures are a little teaser: on...

Our chair is facing some major changes in this new year 2022. Unfortunately, two very successful researchers just left us: Alexander Schmidt and Michael Günther. However, we are happy to announce that Anna Meyer and Johannes Zeitler just joined our team. Furthermore, Dr. Gongping Huang will support ...

Endowed with a prestigious Alexander von Humboldt Research Fellowship, Dr. Gongping Huang joined the Chair for Multimedia Communication and Signal Processing.  After obtaining a PhD at Northwestern Polytechnic University (NPU) in Xi’an, China, and working at ENST in Montreal, Canada, and Technion, H...

Recently, we had the kick-off for the collaborative research centre (SFB) "Empathokinästhetische Sensorik" (EmpkinS), where the LMS will investigate new methods for contact-free medical sensor technology based on radar and camera data. In particular, we focus our research on the compression of multi...